Jennifer A. Moss
- Molecular Biology
- Cell Biology top 10%
- Cellular and Molecular Neuroscience
- Cardiology and Cardiovascular Medicine
- Organizational Behavior and Human Resource Management top 10%
- Co-authors
- John E. BarbutoLouise V.B. AndersonKeith DavisonJ. BeckmannAdriana LasaIsabelle RichardMichel FardeauF.M.S. Tomé
- Topics
- Job Satisfaction and Organizational Behavior (6 papers)Muscle Physiology and Disorders (4 papers)Calpain Protease Function and Regulation (3 papers)
- Cited by
- Cell BiologyCellular and Molecular NeuroscienceOrganizational Behavior and Human Resource Management
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Jennifer A. Moss
12 papers receiving 358 citations
Peers
Comparison fields: 5 of 67
- Molecular Biology 252
- Cell Biology 124
- Cellular and Molecular Neuroscience 119
- Cardiology and Cardiovascular Medicine 64
- Organizational Behavior and Human Resource Management 55
Countries citing papers authored by Jennifer A. Moss
This map shows the geographic impact of Jennifer A. Moss's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jennifer A. Moss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer A. Moss more than expected).
Fields of papers citing papers by Jennifer A. Moss
This network shows the impact of papers produced by Jennifer A. Moss. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jennifer A. Moss. The network helps show where Jennifer A. Moss may publish in the future.
Co-authorship network of co-authors of Jennifer A. Moss
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer A. Moss. A scholar is included among the top collaborators of Jennifer A. Moss based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jennifer A. Moss. Jennifer A. Moss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Testing the Relationship between Interpersonal Political Skills, Altruism, Leadership Success and Effectiveness: A Multilevel Model | 27 |
| 3 | 1 | |
| 4 | 46 | |
| 5 | 15 | |
| 6 | 12 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 32 | |
| 10 | 113 | |
| 11 | 122 | |
| 12 | Genetic-mapping and Pathology of the Neuromuscular Disease in Kyphoscoliotic (ky) Mice | 1 |
| 13 | 4 |
About Jennifer A. Moss
Jennifer A. Moss is a scholar working on Organizational Behavior and Human Resource Management, Cell Biology and Developmental Neuroscience, having authored 13 papers that have together received 381 indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (6 papers), Muscle Physiology and Disorders (4 papers) and Calpain Protease Function and Regulation (3 papers). The work is most often cited by research in Cell Biology (124 citations), Cellular and Molecular Neuroscience (119 citations) and Organizational Behavior and Human Resource Management (55 citations). Jennifer A. Moss has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include John E. Barbuto, Louise V.B. Anderson, Keith Davison, J. Beckmann, Adriana Lasa, Isabelle Richard, Michel Fardeau, F.M.S. Tomé, Jaume Colomer and Christoph Hübner. Their work appears in journals such as American Journal Of Pathology, Journal of Cellular Biochemistry and Journal of Anatomy.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.